Mohammad Bannayan

4.3k total citations
130 papers, 3.4k citations indexed

About

Mohammad Bannayan is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change. According to data from OpenAlex, Mohammad Bannayan has authored 130 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Plant Science, 53 papers in Ecology, Evolution, Behavior and Systematics and 52 papers in Global and Planetary Change. Recurrent topics in Mohammad Bannayan's work include Climate change impacts on agriculture (50 papers), Plant Water Relations and Carbon Dynamics (32 papers) and Climate variability and models (31 papers). Mohammad Bannayan is often cited by papers focused on Climate change impacts on agriculture (50 papers), Plant Water Relations and Carbon Dynamics (32 papers) and Climate variability and models (31 papers). Mohammad Bannayan collaborates with scholars based in Iran, United States and United Kingdom. Mohammad Bannayan's co-authors include Gerrit Hoogenboom, Milad Nouri, N.M.J. Crout, Mehdi Homaee, Amin Alizadeh, F. Nadjafi, Ehsan Eyshi Rezaei, Mehdi Rastgoo, Bahram Andarzian and Majid Azizi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Mohammad Bannayan

124 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Bannayan Iran 35 1.9k 1.3k 1.3k 714 512 130 3.4k
Marcello Donatelli Italy 21 1.8k 1.0× 1.4k 1.1× 858 0.7× 741 1.0× 528 1.0× 60 3.2k
Hendrik Boogaard Netherlands 23 1.3k 0.7× 1.1k 0.8× 868 0.7× 508 0.7× 455 0.9× 53 2.8k
Nadine Brisson France 28 2.4k 1.3× 1.0k 0.8× 1.5k 1.2× 1.1k 1.6× 1.1k 2.1× 52 4.2k
Iwan Supit Netherlands 26 869 0.5× 901 0.7× 1.0k 0.8× 494 0.7× 287 0.6× 64 2.5k
Heidi Webber Germany 30 1.4k 0.7× 1.2k 1.0× 708 0.6× 577 0.8× 576 1.1× 72 2.7k
P.A. Leffelaar Netherlands 37 2.1k 1.1× 809 0.6× 939 0.8× 1.3k 1.8× 753 1.5× 99 4.7k
Garry J. O’Leary Australia 35 2.2k 1.2× 1.0k 0.8× 920 0.7× 810 1.1× 897 1.8× 100 3.6k
Puyu Feng China 32 1.3k 0.7× 1.1k 0.9× 1.4k 1.1× 586 0.8× 458 0.9× 125 3.3k
Ehsan Eyshi Rezaei Germany 27 1.4k 0.7× 1.2k 0.9× 846 0.7× 354 0.5× 514 1.0× 67 2.5k
Paul W. Wilkens United States 12 2.3k 1.2× 2.3k 1.9× 1.1k 0.9× 1.2k 1.7× 1.0k 2.0× 18 4.0k

Countries citing papers authored by Mohammad Bannayan

Since Specialization
Citations

This map shows the geographic impact of Mohammad Bannayan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Bannayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Bannayan more than expected).

Fields of papers citing papers by Mohammad Bannayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Bannayan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Bannayan. The network helps show where Mohammad Bannayan may publish in the future.

Co-authorship network of co-authors of Mohammad Bannayan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Bannayan. A scholar is included among the top collaborators of Mohammad Bannayan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Bannayan. Mohammad Bannayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Bannayan, Mohammad, et al.. (2021). Investigation of Validity and Possibility of using AgMERRA Networked Dataset in North Khorasan Province. SHILAP Revista de lepidopterología.
3.
Bannayan, Mohammad, et al.. (2020). Water Deficit Decreases Gas Exchange Parameters and Marketable Quality of Rosa hybrida ‘Club-Nika’ Irrespective of Training Systems. Journal of Agricultural Science and Technology. 22(3). 837–849. 1 indexed citations
4.
Salehnia, Nasrin, et al.. (2018). Evaluation of different gridded rainfall datasets for rainfed wheat yield prediction in an arid environment. International Journal of Biometeorology. 62(8). 1543–1556. 29 indexed citations
5.
Bannayan, Mohammad, et al.. (2018). Evaluation of simulated precipitation and temperature from CMIP5 climate models in regional climate change studies (case study: major rainfed wheat-production areas in Iran).. 32(5). 2 indexed citations
6.
Bannayan, Mohammad, et al.. (2015). Evaluation of the Extinction Coefficient, Radiation Absorption and Use Efficiency of Saffron (Crocus sativus L.). SHILAP Revista de lepidopterología. 1 indexed citations
7.
Bannayan, Mohammad, et al.. (2015). Applicability of AgMERRA Forcing Dataset to Fill Gaps in Historical in-situ Meteorological Data. 2015 AGU Fall Meeting. 2015. 1 indexed citations
8.
Bannayan, Mohammad, et al.. (2014). YIELD GAP ANALYSIS OF CHICKPEA UNDER SEMI-ARID CONDITIONS: A SIMULATION STUDY. International Journal of Plant Production. 8(4). 531–548. 12 indexed citations
9.
Bannayan, Mohammad, et al.. (2014). Investigating the effects of urea, Azocompost and cutting on quantitative and qualitative characteristics of Oregano (Origanum vulgare virid). International Journal of Advanced Biological and Biomedical Research. 2(4). 993–1010.
10.
Bannayan, Mohammad, et al.. (2014). Evaluation of Yield, Nitrogen Use Efficiency and Radiation Use Efficiency of Wild Majoram in Response to Organic and Chemical Fertilizers. International Journal of Advanced Biological and Biomedical Research. 2. 260–271. 2 indexed citations
11.
Earl, Hugh J., et al.. (2013). Effects of Osmo-Hydropriming and Drought Stress on Seed Germination and Seedling Growth of Rye (Secale Montanum). 6(13). 5 indexed citations
12.
Kafi, Mohammad, et al.. (2012). Emergence response of Persian shallot (Allium altissimum) to temperature. African Journal of Agricultural Research. 7(38). 5312–5316. 3 indexed citations
13.
Bannayan, Mohammad, et al.. (2012). Modeling individual leaf area of basil (Ocimum basilicum) using different methods. International Journal of Plant Production. 5(4). 439–448. 13 indexed citations
14.
Nezami, Ahmad, et al.. (2012). EVALUATION OF FREEZING TOLERANCE OF CUMIN (CUMINUM CYMINUM L.) UNDER CONTROLLED CONDITIONS. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Rezaei, Ehsan Eyshi & Mohammad Bannayan. (2011). Rainfed Cereals Response to Interseasonal Rainfall Variability in Semiarid Regions of Khorasan. 4(8). 1 indexed citations
16.
Bannayan, Mohammad, et al.. (2011). Crop Water Consumption and Crop Yield Prediction under Climate Change Conditions at Northeast of Iran. 3 indexed citations
17.
Bannayan, Mohammad, et al.. (2011). Application times and concentration of humic acid impact on aboveground biomass and oil production of hyssop ( Hyssopus officinalis ). Journal of Medicinal Plants Research. 5(20). 5148–5154. 7 indexed citations
18.
Bannayan, Mohammad, et al.. (2009). Does Hydro and Osmo-Priming Improve Fennel (Foeniculum vulgare) Seeds Germination and Seedlings Growth?. Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 37(2). 190–194. 14 indexed citations
19.
Bannayan, Mohammad & Gerrit Hoogenboom. (2008). Weather Analogue: A tool for lead time simulation of daily weather data based on modified K-nearest-neighbor approach. Env. Modeling and Software 23, 703-713.. Environmental Modelling & Software. 1 indexed citations
20.
Bannayan, Mohammad. (2005). Modelling the Interactive Effects of CO2 and N on Rice Production Performance. Field Crops Research. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026